Q9DGI3 AF NFT

Thioredoxin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiflmjevbyqmhwg26srq2hkicv375pkwytyp76wxqppfi2qz4lj37u/metadata.json
IPFS of structure file: 
bafybeiev5lzzasn7nn7w4bbtwypx646alkmmvj5kagi4iej46bvvh6cnpy/AF-Q9DGI3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa6DB575920E1a34edA83BaAAF292D1418fFa9290
First NFT owner address (bech32): 
genesis15md4wkfqux35ak5rh2409yk3gx8l4y5sj57ma4
Current NFT ID #464845 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
464845
Accession (UniProt):
Q9DGI3
Name::
Thioredoxin
Experimental Method:
Predicted structure
Sequence source:
ICTALURUS PUNCTATUS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q9DGI3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DGI3|THIO_ICTPU Thioredoxin OS=Ictalurus punctatus OX=7998 GN=txn PE=3 SV=1 MVVHIENLNAFSAALKNAGDKLVVVDFTATWCGPCQKIGPIFETLSKSEDYQNVVFLKVDVDDAADVSSHCDIKCMPTFHFYKNGQKIDEFSGANEQTLKQKINDHK